Super Data Science: ML & AI Podcast with Jon Krohn 842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo
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Dec 6, 2024 Explore the crucial role of flexibility in deploying AI models, highlighting the need for tailored solutions. Discover how a leading tech company transformed into a comprehensive AI service ecosystem, emphasizing non-proprietary tools. Dive into strategic choices for on-premises versus cloud solutions and the importance of edge data. Learn how inflexibility can lead to failure and why understanding performance and costs is vital. Lastly, unravel the hype surrounding generative AI and its true business applications, reinforcing innovation across sectors.
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AI for Business Value
- Align AI solutions with your business needs, whether you're starting small or scaling up.
- Consider both broad and niche use cases when choosing AI platforms.
Flexible AI Toolchains
- Prioritize portable toolchains for AI development.
- This enables flexibility to move between cloud, on-premises, or hybrid environments.
Data-Driven Deployment
- Consider data location when deciding between on-premises, cloud, or hybrid AI deployments.
- Dell emphasizes bringing AI to the data source, especially with edge computing's growth.